Instructions to use kbang2021/yelp_polarity_tuned_bert_base_100K with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kbang2021/yelp_polarity_tuned_bert_base_100K with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kbang2021/yelp_polarity_tuned_bert_base_100K")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kbang2021/yelp_polarity_tuned_bert_base_100K") model = AutoModelForSequenceClassification.from_pretrained("kbang2021/yelp_polarity_tuned_bert_base_100K", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 11dcb8ff72e172a20825f3735cd0556d25b9577c99bc23afea4b41a75aefd512
- Size of remote file:
- 5.18 kB
- SHA256:
- 21b15ce8a1273c8f3772925f75dc80be9c557fcfa0e087cdb69756a742d31720
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